[1]韩泽森 来利红.冠心病临床预测模型研究现状概述[J].心血管病学进展,2020,(6):638.[doi:10.16806/j.cnki.issn.1004-3934.2020.06.019]
 HAN ZesenLAI Lihong.Clinical Prediction Models in Coronary Artery Diseases[J].Advances in Cardiovascular Diseases,2020,(6):638.[doi:10.16806/j.cnki.issn.1004-3934.2020.06.019]
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冠心病临床预测模型研究现状概述()
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《心血管病学进展》[ISSN:51-1187/R/CN:1004-3934]

卷:
期数:
2020年6期
页码:
638
栏目:
综述
出版日期:
2020-06-25

文章信息/Info

Title:
Clinical Prediction Models in Coronary Artery Diseases
作者:
韩泽森 来利红
(河南科技大学临床医学院 河南科技大学第一附属医院,河南 洛阳 471003 )
Author(s):
HAN ZesenLAI Lihong
(The First Affiliated Hospital of Henan University of Science and Technology,College of Clinical Medicine of Henan University of Science and Technology,Luoyang 471003,Henan,China)
关键词:
冠心病临床预测模型预测因子研究现状
Keywords:
Coronary artery disease Clinical prediction modelsFactors Research status
DOI:
10.16806/j.cnki.issn.1004-3934.2020.06.019
摘要:
冠心病临床预测模型是美国、英国等国的科学家希望通过的一种简单测算方法,实现对冠心病患者的患病可能性进行预估,从而为患者设计下一步的诊疗方案。分为建立及验证评价两方面,选用疾病的高危因素作为预测模型的因子来建立,以区分度、校准度来评价,以评分表、列线图、手机应用软件等形式来表达,已被写入临床指南。
Abstract:
The clinical prediction model of coronary artery disease(C AD) is a simple measurement method that scientists hope to estimate the prevalence of CAD in the United States,Britain and other countries,so as to design the next diagnosis and treatment plan for patients.It can be divided into establishment and validation. High risk factors of disease are selected in the prediction model .It was validated by the discrimination and calibration ,and expressed in the form of rating table,nomogram,mobile application,etc.,which have been applicated in the clinical guidelines

参考文献/References:


[1] Wilson PWF,Polonsky TS,Miedema MD,et al. Systematic review for the 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the management of blood cholesterol:a report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines[J]. J Am Coll Cardiol,2019,73:3210-3227.

[2] Khera AV,Kathiresan S. Genetics of coronary artery disease:discovery,biology and clinical translation[J]. Nat Rev Genet,2017,18(6):331-344.

[3] Zheng X,Curtis JP,Hu S, et al. Coronary catheterization and percutaneous coronary intervention in China:10-year results from the China PEACE-Retrospective Cathpci Study[J]. JAMA Intern Med,2016,176(4):512-521.

[4] Hu G,Tuomilehto J,Borodulin K,et al. The joint associations of occupational,commuting,and leisure-time physical activity,and the Framingham risk score on the 10-year risk of coronary heart disease[J]. Eur Heart J,2007,28(4):492-498.

[5] Edlinger M,Wanitschek M,D?rler J,et al. External validation and extension of a diagnostic model for obstructive coronary artery disease:a cross-sectional predictive evaluation in 4888 patients of the Austrian Coronary Artery disease Risk Determination In Innsbruck by diaGnostic ANgiography (CARDⅡGAN) cohort[J]. BMJ Open,2017,7(4):e014467.

[6] Lee YH,Bang H,Kim DJ. How to establish clinical prediction models[J]. Endocrinol Metab (Seoul),2016,31(1):38-44.

[7] Han K,Song K,Choi BW. How to develop,validate,and compare clinical prediction models involving radiological parameters:study design and statistical methods[J]. Korean J Radiol,2016,17(3):339-350.

[8] Lee TH,Cook EF,Goldman L. Prospective evaluation of a clinical and exercise-test model for the prediction of left main coronary artery disease[J]. Med Decis Making,1986,6(3):136-144.

[9] Wilson PW,D’agostino RB,Levy D,et al. Prediction of coronary heart disease using risk factor categories[J]. Circulation,1998,97(18):1837-1847.

[10] D’Agostino RB Sr,Vasan RS,Pencina MJ,et al. General cardiovascular risk profile for use in primary care:the Framingham Heart Study[J]. Circulation,2008,117(6):743-753.

[11] Koz C,Baysan O,Hasimi A,et al. Conventional and non-conventional coronary risk factors in male premature coronary artery disease patients already having a low Framingham risk score[J]. Acta Cardiol,2008,63(5):623-628.

[12] Sayin MR,Cetiner MA,Karabag T,et al. Framingham risk score and severity of coronary artery disease[J]. Herz,2014,39(5):638-643.

[13] Wynants L,Kent DM,Timmerman D,et al. Untapped potential of multicenter studies:a review of cardiovascular risk prediction models revealed inappropriate analyses and wide variation in reporting[J]. Diagn Progn Res,2019,3:6.

[14] Conroy RM,Pyorala K,Fitzgerald AP,et al. Estimation of ten-year risk of fatal cardiovascular disease in Europe:the SCORE project[J]. Eur Heart J,2003,24(11):987-1003.

[15] Versteylen MO,Joosen IA,Shaw LJ,et al. Comparison of Framingham,PROCAM,SCORE,and Diamond Forrester to predict coronary atherosclerosis and cardiovascular events[J]. J Nucl Cardiol,2011,18(5):904-911.

[16] Guaricci AI,Pontone G,Fusini L,et al. Additional value of inflammatory biomarkers and carotid artery disease in prediction of significant coronary artery disease as assessed by coronary computed tomography angiography[J]. Eur Heart J Cardiovasc Imaging,2016,18(9):1049-1056.

[17] Graffigna MN,Berg G,Migliano M,et al. Ten years cardiovascular risk estimation according to Framingham score and non HDL-cholesterol in blood donors[J]. Diabetes Metab Syndr,2015,9(1):24-27.

[18] Chen S,Liu Y,Islam SMS,et al. A simple prediction model to estimate obstructive coronary artery disease[J]. BMC Cardiovasc Disord,2018,18(1):7.

[19] Liu Y,Li Q,Chen S,et al. A simple modified Framingham Scoring system to predict obstructive coronary artery disease[J]. J Cardiovasc Transl Res,2018,11(6):495-502.

[20] Hippisley-Cox J,Coupland C,Vinogradova Y,et al. Derivation and validation of QRISK,a new cardiovascular disease risk score for the United Kingdom:prospective open cohort study[J]. BMJ,2007,335(7611):136.

[21] Reeh J,Therming CB,Heitmann M,et al. Prediction of obstructive coronary artery disease and prognosis in patients with suspected stable angina[J]. Eur. Heart J,2019,40(18):1426-1435.

[22] Moons KG,Kengne AP,Woodward M,et al. Risk prediction models:Ⅰ. Development,internal validation,and assessing the incremental value of a new (bio)marker[J]. Heart,2012,98(9):683-690.

[23] Lan M,Liu B,He Q. Evaluation of the association between hyperuricemia and coronary artery disease:A STROBE-compliant article[J]. Medicine (Baltimore),2018,97(44):e12926.

[24] de Stefano A,Mannucci L,Tamburi F,et al. Lp-PLA,a new biomarker of vascular disorders in metabolic diseases[J]. Int J Immunopathol Pharmacol,2019,33:2058738419827154.

[25] 陈斌,王洪巨. 同型半胱氨酸、叶酸代谢与冠心病的研究进展[J]. 心血管病学进展,2018,39(2):291-294.

[26] Mosca L,Banka CL,Benjamin EJ,et al. Evidence-based guidelines for cardiovascular disease prevention in women:2007 update[J]. J Am Coll Cardiol,2007,49(11):1230-1250.

[27] Genders TS,Steyerberg EW,Hunink MG,et al. Prediction model to estimate presence of coronary artery disease:retrospective pooled analysis of existing cohorts[J]. BMJ,2012,344:e3485.

[28] Wessler BS,Lai Yh L,Kramer W,et al. Clinical prediction models for cardiovascular disease tufts predictive analytics and comparative effectiveness clinical prediction model database[J]. Circ Cardiovasc Qual Outcomes,2015,8(4):368-375.

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更新日期/Last Update: 2020-09-22